AI is not just a tool – it’s a shift in how companies think, innovate, and compete. Traditional innovation cycles – from idea to product – are being compressed, reshaped, and in many cases, disrupted. Businesses that adapt fast will lead; those that wait will fall behind. This session explored the AI-driven innovation cycle, how it changes decision-making, strategy, and product development, and what practical steps companies can take today to stay ahead.
Questions for discussion:
- How AI transforms the traditional innovation cycle – from R&D to deployment
- Speed vs Risk: Why fast iteration with AI creates both opportunity and vulnerability
- Organizational readiness: what needs to change in structure, mindset, and talent
- Real-world business cases of AI adaptation: wins, failures, and lessons learned
- What to do tomorrow: practical frameworks for leaders to implement AI-driven innovation
- Ethics and trust: navigating the human side of AI adoption in a business context
Speaker:
Tymofii Mylovanov
President of the Kyiv School of Economics. Timofiy Mylovanov is a Ukrainian economist, former Minister of Economic Development of Ukraine (2019–2020), PhD in economics, associate professor at the University of Pittsburgh.
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